alpaca-trade-api-python VS marketstore

I ended up switching to using alpaca_trade_api library and it takes all the headache of all that. Here’s the documentation: https://github.com/alpacahq/alpaca-trade-api-python

Alpaca Trading API Python

My advice is to learn to code in python well enough to use basic math functions and the requests package. Then put $100 into a brokerage with a really simple API like Alpaca and practice buying, selling, and monitoring your account (use this repo: https://github.com/alpacahq/alpaca-trade-api-python). You can paper trade if you want to day trade.

I’m using their python module. (https://github.com/alpacahq/alpaca-trade-api-python) Overall I’d say the API is good enough for my types of strategies. For backtesting I use their get_barset() method.

According to their Python interfaces on GIT hub they are implementing some interesting new features. Here is the link to the main commit that I am looking at: https://github.com/alpacahq/alpaca-trade-api-python/commit/1391436dbba635efb56615739d91fdbb2f23cd9c

Yo. If you ever wanna make an api, can you make it like polygon, so like alpaca 🦙. streamconn.py the majority of the algo traders are just piggybacking of alpaca in their little notebooks to get then place a trade on Robinhood instead.

I'm also open to the idea of a better tick-storage solution, but after trying many out like Alpaca Marketstore, TimescaleDB, etc. it seems like parquet files would fit my needs better and give me more flexibility for replaying data into my algorithms.